Advancements in AI have shown that it has learned how to create various media, including scripts, poems, art, and more. So, can AI produce music?
The answer is yes, with many AI programs released that work specifically to create music, including machine learning to create songs by deceased artists or entirely new compositions.
Read on to learn more about how AI is used today in the music production industry.
AI is creating whole new avenues when it comes to music creation and production.
Whether used in full or in part to create new songs, it allows many to harness the potential of music.
However, with anything, there are pitfalls when it comes to this technology to consider, too.
AI (artificial intelligence) must learn to work to the best of its ability. As a result, AI developers spend a lot of time “teaching” their AI programs about what they want them to do.
When it comes to music production, the AI needs to listen to a lot of music to build its understanding of its composition.
If AI is used to compose a particular genre of music or emulate a specific artist, then this is what it will learn from.
Using this information, the AI program will generate a piece of music based on the algorithm and data given.
AI has been used to create music inspired by artists no longer with us.
The AI program can learn from the artist’s catalog to create music that sounds like them.
Complete works of classical artists left unfinished, such as Beethoven’s 10th Symphony, have been used.
With AI technology, creating awareness of issues such as mental health has also been used.
Over the Bridge, a mental health charity, created an album using AI called The Lost Tapes of the 27 Club.
The album features songs created by AI based on artists who lost their lives at the age of 27, such as Jimi Hendrix and Amy Winehouse.
The AI Song Contest celebrates the genre of AI-produced music, which invites countries worldwide to submit their best musical work that has been produced in part or wholly by AI.
Although the process is simple, revolving around putting in music and data and the AI spitting out a music track based on what it has learned, there is still a lot of mysticism behind how the AI can come up with the music.
As AI becomes more complex and the neural networks that help it to operate become bigger, it’s becoming harder for scientists to determine how the AI comes to its decisions during the creation process.
In other words, creators have less control over what the AI produces.
For those looking to get into AI-produced music, here are the best AI music plugins and programs out there today:
- Amper Music
- Ecrett Music
- Amadeus Code
As AI does the learning and composing, there is no need for music creators to know music notation and composition.
In turn, this helps to open up the art of creating music to an entirely new audience that would normally need to undertake years of study to be able to create music using traditional methods.
Creators no longer need to commission music for their projects, such as podcasts, commercials, or video games. Instead, they can use an AI program to create the soundtrack they need, adjusting it to fit the tone and requirements of their work.
For example, AI makes it easy to play around with a mix of genres and combine them to create a whole new sound.
It still requires human input to be successful.
Although AI can create entire songs, it still requires human input.
Ultimately, music is for human consumption, so it has to sound good to us rather than machines.
As a result, the music needs to be manually edited and vetted by a human listener to ensure it is suitable.
Another issue with AI-produced music is that it lacks creativity for the most part.
It requires data and patterns from other music to work, meaning that AI-created music will always resemble other tunes or artists.
Not only that, it can’t draw on human experiences, which makes lyrics all the more special to the listener.
Music created by AI simply can’t create meaningful lyrics at this time, as it can’t understand concepts such as love or sadness.
AI-produced music also raises questions about licensing and copyright issues.
Although AI creates new songs, they are still influenced and informed by the data and songs fed into them, some of which could be from copyrighted material.
However, so long as the songs are not too similar, there are no laws against AI-created music, though it has increased debate.
For large or complex pieces, the AI will need to create a lot of neural networks to understand what is requested.
It will need to “learn” a large amount of music and songs, which takes a lot of energy and electricity to complete.
Many are concerned that increasing AI-generated music could significantly impact the environment.
AI has shown us that it can produce music, and new AI programs are being developed.
But the process is still very complex and requires human involvement and input to be successful.
With technology readily advancing, who knows what advancements will be in the field of AI Music Production in the future? Let us know your thoughts in the comments.
Thanks for reading.